{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# 绘制地理投影图的时候坐标的设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.ticker as mticker\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter,LatitudeLocator\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  ###防止无法显示中文并设置黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  ###用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (lat: 89, lon: 180)&gt;\n",
       "array([[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       ...,\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0\n",
       "  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0\n",
       "    time     datetime64[ns] 2017-07-01\n",
       "Attributes:\n",
       "    long_name:     Monthly Means of Sea Surface Temperature\n",
       "    units:         degC\n",
       "    var_desc:      Sea Surface Temperature\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    dataset:       NOAA Extended Reconstructed SST V5\n",
       "    parent_stat:   Individual Values\n",
       "    actual_range:  [-1.8     42.32636]\n",
       "    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-35e9659b-dace-45cc-b977-aa9cf6cc7e97' class='xr-array-in' type='checkbox' checked><label for='section-35e9659b-dace-45cc-b977-aa9cf6cc7e97' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       ...,\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-03e785d3-1557-4d40-9d26-dc7276111c52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03e785d3-1557-4d40-9d26-dc7276111c52' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-96321f8b-2af3-436e-9fe9-3ca40e6f425b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96321f8b-2af3-436e-9fe9-3ca40e6f425b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7777f711-344f-46db-8236-1d02a7995343' class='xr-var-data-in' type='checkbox'><label for='data-7777f711-344f-46db-8236-1d02a7995343' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,\n",
       "        64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,\n",
       "        40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,\n",
       "        16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,\n",
       "        -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,\n",
       "       -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,\n",
       "       -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,\n",
       "       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-0986a409-7d49-4ebc-a22b-9691c71e5c16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0986a409-7d49-4ebc-a22b-9691c71e5c16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f6f9f39-859b-4040-b065-b3418ea83167' class='xr-var-data-in' type='checkbox'><label for='data-6f6f9f39-859b-4040-b065-b3418ea83167' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,\n",
       "        24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,\n",
       "        48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,\n",
       "        72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,\n",
       "        96.,  98., 100., 102., 104., 106., 108., 110., 112., 114., 116., 118.,\n",
       "       120., 122., 124., 126., 128., 130., 132., 134., 136., 138., 140., 142.,\n",
       "       144., 146., 148., 150., 152., 154., 156., 158., 160., 162., 164., 166.,\n",
       "       168., 170., 172., 174., 176., 178., 180., 182., 184., 186., 188., 190.,\n",
       "       192., 194., 196., 198., 200., 202., 204., 206., 208., 210., 212., 214.,\n",
       "       216., 218., 220., 222., 224., 226., 228., 230., 232., 234., 236., 238.,\n",
       "       240., 242., 244., 246., 248., 250., 252., 254., 256., 258., 260., 262.,\n",
       "       264., 266., 268., 270., 272., 274., 276., 278., 280., 282., 284., 286.,\n",
       "       288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,\n",
       "       312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,\n",
       "       336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-07-01</div><input id='attrs-3d2ee3f4-363a-45c7-b3e1-7c5ee6712a78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d2ee3f4-363a-45c7-b3e1-7c5ee6712a78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60133dd6-f8c9-44ba-b097-2646cff59f19' class='xr-var-data-in' type='checkbox'><label for='data-60133dd6-f8c9-44ba-b097-2646cff59f19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81053.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2017-07-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a458aa0-7e57-4a09-86f5-ab1451478dc6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a458aa0-7e57-4a09-86f5-ab1451478dc6' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sst' (lat: 89, lon: 180)>\n",
       "array([[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],\n",
       "       ...,\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0\n",
       "  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0\n",
       "    time     datetime64[ns] 2017-07-01\n",
       "Attributes:\n",
       "    long_name:     Monthly Means of Sea Surface Temperature\n",
       "    units:         degC\n",
       "    var_desc:      Sea Surface Temperature\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    dataset:       NOAA Extended Reconstructed SST V5\n",
       "    parent_stat:   Individual Values\n",
       "    actual_range:  [-1.8     42.32636]\n",
       "    valid_range:   [-1.8 45. ]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_dataset('../../data/sst.mnmean.nc')\n",
    "sst2017=ds['sst'].loc['20170701',:,:]\n",
    "sst2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lon=sst2017['lon'][:].data\n",
    "lat =sst2017['lat'][:].data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1f0dd4e5850>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(9,6))\n",
    "ax=fig.subplots(1,1,subplot_kw={'projection':ccrs.Robinson(central_longitude=180)})\n",
    "# 添加海岸线和陆地\n",
    "ax.add_feature(cfeature.COASTLINE.with_scale('50m'))\n",
    "ax.add_feature(cfeature.LAND,facecolor='grey')\n",
    "\"\"\"# 添加坐标轴\n",
    "ax.set_xticks(np.arange(-180, 180 + 30, 30), crs=ccrs.PlateCarree())\n",
    "ax.set_yticks(np.arange(-90, 90 + 30, 30), crs=ccrs.PlateCarree())\n",
    "## 经纬度格式，把0经度设置不加E和W\n",
    "lon_formatter = LongitudeFormatter(zero_direction_label=False)\n",
    "lat_formatter = LatitudeFormatter(auto_hide=False)\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "# 设置刻度大小\n",
    "ax.tick_params(axis='y',labelsize=10)\n",
    "ax.set_xlabel('经度')\n",
    "ax.set_ylabel('纬度')\"\"\"\n",
    "#####################################设置部分##############################\n",
    "# 设置坐标刻度\n",
    "ZB=ax.gridlines(crs=ccrs.PlateCarree(),color='grey',draw_labels=True,linestyle='--',linewidth=0.8)\n",
    "ZB.xlocator = mticker.FixedLocator([45,90,135, 180, -135, -90,-45])\n",
    "ZB.ylocator = mticker.FixedLocator(np.arange(-80,90,10))\n",
    "# 设置刻度的显示开关\n",
    "ZB.top_labels=False\n",
    "ZB.right_labels=False\n",
    "ZB.left_labels=True\n",
    "ZB.bottom_labels=True\n",
    "# 设置经纬度样式\n",
    "ZB.xlabel_style={'size':7}\n",
    "ZB.ylabel_style={'size':7}\n",
    "ZB.rotate_labels=0 # 旋转坐标刻度\n",
    "############################################################################\n",
    "# 设置标题\n",
    "ax.set_title('2017年7月的全球海温分布的等值线填色图')\n",
    "\n",
    "# 画图\n",
    "colorbar=ax.contourf(lon,lat,sst2017.data,cmap='bwr',transform=ccrs.PlateCarree())\n",
    "plt.colorbar(colorbar, extendrect='True', pad=0.03, fraction=0.04, shrink=0.7)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
